Intern - Probe Automation (Wafer Test Optimization)

About the role

Micron is looking for an intern in its F10NX department to join the Move Table Optimizer project, which applies artificial intelligence to optimize wafer test movement sequences. During wafer testing, a probe card moves across the wafer to test each die, and the movement sequence must cover all required dies using as few contacts as possible. The intern will build an optimization engine and a web application for engineers to visualize, compare and evaluate recommended configurations.

Key responsibilities

• Develop an optimization engine that generates and ranks wafer test movement configurations.
• Analyze historical configuration data and benchmark model results against manually optimized configurations.
• Build a web application for engineers to visualize and compare recommended configurations.
• Validate recommendations with representative production cases and quantify improvements in test time and tester utilization.
• Deliver an optimization engine, a web app with wafer visualization and side-by-side comparison, and a validation report.

Required profile

• Pursuing a degree in Computer Science, Computer Engineering, Electrical and Electronic Engineering, Mechatronics Engineering or a related field.
• Ability to commit to a full-time internship of at least 5 months.
• Strong analytical, problem-solving and software engineering skills.

Required skills

• Python, Linux, Angular and SQL.
• Familiarity with machine learning, optimization libraries or AI-enabled workflows.
• Exposure to combinatorial optimization, coverage optimization, sequencing or path-planning is an advantage.

High-performing interns may be considered for future internship or full-time employment, depending on business needs and role availability.